Skip to main content
  • Research article
  • Open access
  • Published:

Follow-up in patients with a burn-related emergency department visit: a feasibility study



Data on epidemiology, costs, and outcomes of burn-related injuries presenting at emergency departments (EDs) are scarce. To obtain such information, a questionnaire study with an adequate response rate is imperative. There is evidence that optimized strategies can increase patient participation. However, it is unclear whether this applies to burn patients in an ED setting. The objective of this feasibility study was to optimize and evaluate patient recruitment strategy and follow-up methods in patients with burn injuries presenting at EDs.


In a prospective cohort study with a 6-month follow-up, patients with burn-related injuries attending two large EDs during a 3-month study period were included. Eligible patients were quasi-randomly allocated to a standard or optimized recruitment strategy by week of the ED visit. The standard recruitment strategy consisted of an invitation letter to participate, an informed consent form, a questionnaire, and a franked return envelope. The optimized recruitment strategy was complemented by a stamped returned envelope, monetary incentive, sending a second copy of the questionnaire, and a reminder by telephone in non-responders. Response rates were calculated, and questionnaires were used to assess treatment, costs, and health-related quality of life.


A total of 87 patients were included of which 85 were eligible for the follow-up study. There was a higher response rate at 2 months in the optimized versus the standard recruitment strategy (43.6% vs. 20.0%; OR = 3.1 (95% CI 1.1–8.8)), although overall response is low. Non-response analyses showed no significant differences in patient, burn injury or treatment characteristics between responders versus non-responders.


This study demonstrated that response rates can be increased with an optimized, but more labor-intensive recruitment strategy, although further optimization of recruitment and follow-up is needed. It is feasible to assess epidemiology, treatment, and costs after burn-related ED contacts.


Worldwide, several epidemiological studies on emergency department (ED) treatments of burn injuries are available [1,2,3,4]. These studies focus on incidence rates [1, 3, 4] and trends [1, 4] of burn-related ED visits. In contrast, data on medical or societal costs after burns treated at an ED are scarce. A recent review on costs and cost-effectiveness of burn care revealed a substantial number of studies (n = 156) and predominantly costs studies (n = 153) [5]. However, data on costs including EDs were limited and showed a broad range (between 88 USD for minor burns and 751 USD for the most severe burn category) [6,7,8]. Although individual costs may be limited, societal costs can be substantial due to high volumes of burn injuries presented at ED and loss in economic productivity. In addition, to our knowledge, no studies exist into health-related quality of life (HRQOL) after burns treated at an ED. Other previously conducted studies on HRQOL after specialized burn care and after general injuries presented at an ED proved to be feasible [9,10,11,12]. However, response rates were low (37%–43%) [9, 10].

To obtain reliable information, the response rate is crucial for the efficiency of the study. A low response rate requires more patients to be included, and selective non-response can bias outcomes. Several systematic literature reviews are available which examined effective strategies to increase response rate both specific to the healthcare setting and postal questionnaires in general [13,14,15]. The use of colored ink, information brochure, stamped return envelopes, and a monetary incentive have all been associated with a higher response rate. Furthermore, sending non-responders a second copy of the questionnaire was shown to increase response rates [13,14,15].

The ED is considered the most suitable place for recruitment of incident injury patients in general. However, difficulties in recruitment may arise related to this clinical setting (i.e., large number of staff, small time window present) and the type of patients (low-frequency injuries). In addition, privacy legislation and ethical and research governance influence possibilities for recruitment [16].

In our study, emphasis was put on the optimization and evaluation of patient recruitment strategies and follow-up methods by comparing the effects of an optimized recruitment strategy to a standard strategy. The objective of this feasibility study was to improve and evaluate patient recruitment strategy and follow-up methods.


Study design, setting, and population

A prospective cohort study with a 6-month follow-up was conducted. All patients with burn-related injuries attending the EDs of a level 1 and a level 2 trauma center from trauma region Brabant (Amphia Hospital, Breda and Elisabeth-TweeSteden Hospital, location Elisabeth, Tilburg) in a 3-month period (1 November 2013 to 1 February 2014) were included. Patients were contacted and provided with questionnaires 2 months after the ED visit. Recruitment strategy was quasi-randomized as it changed in alternate weeks. Patients attending the ED in the first week were included using the standard recruitment strategy, and patients attending the ED in the second week were approached using the optimized recruitment strategy and so forth.

Recruitment strategy

In both recruitment strategies, the first set of questionnaires was sent by post by the attended hospital including an information letter, informed consent form, and a return envelope 2 months post-burn. After 2 weeks, non-responders received a reminder letter to participate in the study. Patients were asked to give informed consent for further participation in the study by returning a signed informed consent form and providing personal contact details to the principal researchers. At 6 months, follow-up questionnaires were sent only to patients that gave informed consent. Again, a reminder was sent by post to non-responders after 2 weeks.

Recruitment strategies differed on the following measures: the optimized recruitment strategy used a stamped instead of franked return envelope, added a monetary incentive (€50 coupon raffled among every 50 responders), an additional brochure and sticker of the Dutch Burns Foundation, and a reminder letter including a second copy of the questionnaire (see Table 1). More importantly, in the optimized recruitment strategy, non-responders were contacted by phone by a member of the research team after 2 weeks, as a reminder to participate in the study.

Table 1 Comparison of both recruitment strategies

Data collection

ED hospital database

From the ED hospital databases, data were collected on demographics, burn- and treatment-related characteristics. Socioeconomic status was assessed as an aggregate proxy based on income, education, and work participation in patients’ postal code area, according to the method of the Netherlands Institute for Social Research [17] and classified into quintiles (1 = lowest, 5 = highest). The urgencies on triage are high (Manchester triage system (MTS) [18] red or orange, Emergency severity index (ESI) [19] 1 or 2), middle (MTS yellow, ESI 3), and low (MTS green or blue and ESI 4 or 5). In admitted patients, additional data were derived from the (Dutch) trauma registry.

Follow-up by questionnaire

Patients were sent postal questionnaires to collect data on sociodemographic and burn-related characteristics (medical costs, productivity loss (due to work absence), and HRQOL 2 months and 6 months post-burn. Data on pre-burn generic HRQOL was collected 2 months post-burn in adults only; data on burn-specific HRQOL was collected at 6-month follow-up only, to reduce the burden of study data collection for patients.

Medical and indirect costs

Data on patients’ extramural medical costs (e.g., physiotherapy) and indirect costs (productivity loss due to work absence) were collected, using the Work and Medical Consumption Questionnaire. This 25-item questionnaire was originally validated to assess productivity loss and medical consumption in patients with psychiatric illness [20]. For this study, the questionnaire was adjusted at some points to make it suitable for burn patients (see Additional file 1).

Quality of life

Both generic and burn-specific health-related quality of life were assessed using questionnaires, validated for the Dutch language. Generic HRQOL was assessed using the EuroQol-5D-3L plus cognition dimension (in patients 5 years and older) [21, 22]. In children aged 0–4 years, the Infant and Toddler Quality of Life Questionnaire (ITQOL)-47 was used [23,24,25].

Burn-specific HRQOL was assessed using the Health Outcomes Burn Questionnaire (HOBQ) for infants and children aged 0–4 years [25], the American Burn Association/Shriners Hospital for Children Burn Outcomes Questionnaire (BOQ) in children aged 5–17 [25], and the Burns Specific Health Scale-brief (BSHS-B) in adults [26, 27].

Statistical analysis

For both recruitment strategies, response rates were calculated and an odds ratio (OR) with 95% confidence interval (CI) was calculated for the difference in response. Non-response analysis was performed by comparing characteristics of responders versus non-responders, using Fisher’s exact tests (2 × 2 categorical data) or the Fisher’s Fisher-Freeman-Halton exact test (in case of more than two categories), or Mann-Whitney test (non-parametric continuous data) or t test (parametric continuous data).

Data was analyzed with SPSS. A P value < 0.05 was considered to be statistically significant.


Patient and burn characteristics

During the 3-month study period, 87 patients attended one of the two EDs for a burn-related injury. The mean age was 28.4 years and males and females were equally distributed (48.3% vs. 51.7%; see Table 2). One out of four patients lived in an area in the lowest socioeconomic quintile. Scalds caused 34.5% of the burns and flame only accounted for 11.5%. Apart from this, 35.5% of the burn injuries were related to firework. The mean total body surface area (TBSA) burned was 1.6%, and the most frequently affected sites were the hands (40.2%) followed by the head/face (27.6%) (Table 3).

Table 2 Characteristics of patients by responsea at 2 months
Table 3 Characteristics of patients’ burn injuries by responsea at 2 months

Response rates

Totally 85 among 87 patients were sent follow-up questionnaires 2 months after presentation at the ED, using the standard recruitment strategy (n = 30) or the optimized recruitment strategy (n = 55). Two sets of questionnaires were undeliverable (n = 1 standard strategy, no address and n = 1 optimized strategy, living abroad). The high number of firework-related burn injuries on New Year’s Eve (n = 26) resulted in a higher number of inclusions in the optimized recruitment strategy (see Fig. 1).

Fig. 1
figure 1

Patient inclusion flow diagram

There was a higher recruitment and response rate at 2 months in the optimized recruitment strategy (24 out of the 55; 43.6%) than in the standard recruitment strategy (6 out of the 30; 20%) (OR = 3.1, 95% CI = 1.1–8.8) (Additional file 2: Table S1). Out of 30 responders at 2 months, 20 (66.6%) patients gave informed consent for further follow-up at 6 months. At final follow-up at 6 months, 11 (55%) patients returned the questionnaires of whom 9 were initially addressed using the optimized recruitment strategy. The overall response at 6 months was 16.4% (9/55) in the optimized recruitment strategy and 6.7% (2/30) in the standard recruitment strategy (OR = 2.7; 95% CI = 0.6–13.6).

Non-response analysis

Non-response analyses showed no significant differences in patient or burn injury characteristics between responders versus non-responders at 2 months (see Tables 2 and 3). In addition, no differences in treatment were observed between responders versus non-responders (see Table 4). The majority of patients in both groups received outpatient treatment (76.6% vs. 87.3%), either a single ED contact or multiple outpatient contacts. Additional data on incidence and costs is available upon request.

Table 4 Treatment characteristics of burn-related injuries presented at Dutch EDs (n = 87), by responsea


This study aimed to improve and evaluate patient recruitment strategy and follow-up methods in an ED burn population. Using strategies to optimize recruitment yielded higher recruitment and response rate at 2 months (43.6 vs. 20.0%, OR = 3.1, 95% CI = 1.1–8.8). This might seem as a self-evident result; however, the extra labor and costs that the optimized recruitment strategy entailed must be taken into account, when assessing the feasibility of a larger scale study including multiple EDs. Moreover, in the optimized strategy, local researchers are required in all participating hospitals for the reminder by telephone in non-responders; as for legal reasons, it is not allowed to transfer patients’ contact information to coordinating researchers.

A crucial outcome of our study was the low participation and response rate, also in the optimized recruitment strategy. This could be explained partly by the postal recruitment strategy, a timing of the assessment at 2 months post-burn in combination with relatively small burns. Due to the low incidence of burn injuries, in combination with a large number of staff and the short time window within which patients at the ED can be recruited, onsite recruitment was deemed not feasible.

Next, the relatively low socioeconomic status of burn injury patients can add to the low response rates in burn injury populations. Hutchings [28] reported significant higher levels of non-response in patients from the most deprived quintiles of socioeconomic status.

Recruitment and follow-up at specialized burn centers is less problematic, also in outpatient clinics, as incidence of burn injuries is high, burn injury is frequently more severe, and often a dedicated treatment team with the support of a research team is available, resulting in direct onsite informed consent conversation, instead of delayed postal recruitment. The optimized follow-up strategy ideally should always be applied to minimize attrition.

Previous studies in ED patients after general injuries showed similar responses with a 37% to 43% response rate on a first postal questionnaire on costs and generic quality of life assessments post-injury. In these studies, patients with a hospital admission were oversampled [9, 10]. Finlay et al. [29] reported a response rate of 63% at least 6 months post-burn, after intensive follow-up including multiple phone calls, in patients with minor burns treated in a burn center [29]. The authors needed 180 h, i.e., more than 2 h per patient per follow-up to achieve this response rate. This response rate is probably not realistic in an ED population, with small-sized burns (mean TBSA < 2%). Gabbe et al. [30] reported a dramatic decrease over time in response rates in patients admitted to a burn center who were followed up, which decreased from 64% at 1-month follow-up to 21% at 24-month follow-up [30]. Recently, Varner showed a lower attrition rate in ED patients using text messaging reminders. These text messaging reminders were sent only in case of unsuccessful telephone contact. Alternatively, emails can be sent [31].

Review papers on recruitment and retention in emergency medicine studies [32] as well as in clinical trials in general [33] underscore the need for optimal strategies but also the lack of evidence what works in recruitment and follow-up. Thus, recruitment and response rates are a major issue in burn research and in other fields and deserve continued attention to optimize questionnaire research.

A strength of this study was the completeness of data on epidemiology of ED burns. Data on characteristics of injury and treatment could be adequately retrieved from ED electronic medical records and the Dutch trauma registration (in admitted patients). Next to this, information on specialized burn care was available to participating researchers from the burn center itself.

A limitation of our study was the limited number and unequal distribution of patients across the recruitment strategies. The recruitment strategy that changed across alternate weeks resulted in an unbalanced patient distribution across strategies because of a peak on New Year’s Eve (n = 26). Beforehand, alternative recruitment schemes were discussed but not considered feasible with regard to the future larger scale study. However, future studies should use another design; perhaps recruitment can alternate after every ten patients, to prevent unbalanced groups. Also, sample size calculation should be included to optimize study efficiency. As our study was designed as a feasibility study, no sample size calculation was performed.

Next, response rates remained limited, even in the optimized recruitment strategy (43.6%). This could introduce selection bias. Earlier ED studies reported similar response rates of 37–43% but sampled the more severe patients (i.e., used a stratified patient selection based on injury category and overrepresentation of admitted patients and patients with an expected continued treatment) [9, 10]. This stratification method is supported by Finlay et al., who found that loss to follow-up in patients with minor burns and burns affecting the upper limb was an indicator of good recovery and concluded that follow-up of these patients is unnecessary [29]. Recently, this group developed a prognostic model for tailoring burn care to more severe patients. Male gender, conservative management, upper limb burn, and good burn-specific HRQOL within 1 month of burn were significant predictors of good outcome at 6 months and beyond. However, these proposals need further study [34]. We could not address this issue in our analysis because of limited follow-up data.

We did not perform direct recruitment at the ED but contacted patients 2 months post-burn. Direct recruitment was judged not feasible because the low frequency of burn injuries and the large number of staff. Probably, a shorter time from injury to first study contact would have increased response. In future studies, the possibilities of a timelier, local recruitment need to be explored. In future studies, an optimized recruitment strategy, shortly after injury, in combination with the selection of more severe burn patients for follow-up can contribute to a further increase in response rates to an acceptable level. We propose the use of an algorithm based on burn severity (e.g., TBSA) and treatment trajectory for the selection of the majority of follow-up patients. The length of the questionnaires must also be minimized, to reduce the burden for patients and lower the barrier for participation in follow-up. Also, web-based data collection must be considered to optimally facilitate potential participants. Furthermore, the study period should last at least a full calendar year to cover all seasonal fluctuations in burn injuries presenting at EDs.


This study demonstrated that response rates can be increased with an optimized, but more labor-intensive, and thus more expensive recruitment strategy, although further optimization of recruitment and follow-up is needed. When abovementioned points of improvement are implemented in a larger scale study, we assume it is feasible to assess the real burden of disease in this population including HRQOL and extramural costs.



Burn Outcomes Questionnaire


Burns Specific Health Scale-brief


Confidence interval


Emergency department




Emergency severity index


Health Outcomes Burn Questionnaire


Health-related quality of life


Infant and Toddler Quality of Life Questionnaire


Dutch Injury Surveillance System


Manchester triage system


Odds ratio


Standard deviation


Total body surface area


  1. DeKoning EP, Hakenewerth A, Platts-Mills TF, Tintinalli JE. Epidemiology of burn injuries presenting to North Carolina emergency departments in 2006–2007. Burns. 2009;6:776–82.

    Article  Google Scholar 

  2. D’Souza AL, Nelson NG, McKenzie LB. Pediatric burn injuries treated in US emergency departments between 1990 and 2006. Pediatrics. 2009;5:1424–30.

    Article  Google Scholar 

  3. Fagenholz PJ, Sheridan RL, Harris NS, Pelletier AJ, Camargo CA Jr. National study of emergency department visits for burn injuries, 1993 to 2004. J Burn Care Res. 2007;5:681–90.

    Article  Google Scholar 

  4. Wasiak J, Spinks A, Ashby K, Clapperton A, Cleland H, Gabbe B. The epidemiology of burn injuries in an Australian setting, 2000–2006. Burns. 2009;8:1124–32.

    Article  Google Scholar 

  5. Hop MJ, Polinder S, van der Vlies CH, Middelkoop E, van Baar ME. Costs of burn care: a systematic review. Wound Repair Regen. 2014;4:436–50.

    Article  Google Scholar 

  6. Frank HA, Berry C, Wachtel TL, Johnson RW. The impact of thermal injury. J Burn Care Rehabil. 1987;4:260–2.

    Article  Google Scholar 

  7. Kagan RJ, Warden GD. Care of minor burn injuries: an analysis of burn clinic and emergency room charges. J Burn Care Rehabil. 2001;5:337–40.

    Article  Google Scholar 

  8. Sanchez JL, Bastida JL, Martinez MM, Moreno JM, Chamorro JJ. Socio-economic cost and health-related quality of life of burn victims in Spain. Burns. 2008;7:975–81.

    Article  Google Scholar 

  9. van Baar ME, Polinder S, Essink-Bot ML, van Loey NE, Oen IM, Dokter J, et al. Quality of life after burns in childhood (5–15 years): children experience substantial problems. Burns. 2011;6:930–8.

    Article  Google Scholar 

  10. van Loey NE, van Beeck EF, Faber BW, van de Schoot R, Bremer M. Health-related quality of life after burns: a prospective multicenter cohort study with 18 months follow-up. J Trauma Acute Care Surg. 2012;2:513–20.

    Article  Google Scholar 

  11. Polinder S, van Beeck EF, Essink-Bot ML, Toet H, Looman CW, Mulder S, et al. Functional outcome at 2.5, 5, 9, and 24 months after injury in the Netherlands. J Trauma. 2007;1:133–41.

    Article  Google Scholar 

  12. Polinder S, Meerding WJ, Toet H, Mulder S, Essink-Bot ML, van Beeck EF. Prevalence and prognostic factors of disability after childhood injury. Pediatrics. 2005;6:e810–7.

    Article  Google Scholar 

  13. Edwards P, Roberts I, Clarke M, DiGuiseppi C, Pratap S, Wentz R, et al. Increasing response rates to postal questionnaires: systematic review. BMJ. 2002;7347:1183.

    Article  Google Scholar 

  14. Edwards PJ, Roberts I, Clarke MJ, Diguiseppi C, Wentz R, Kwan I, et al. Methods to increase response to postal and electronic questionnaires. Cochrane Database Syst Rev. 2009;3:MR000008.

    Google Scholar 

  15. Nakash RA, Hutton JL, Jorstad-Stein EC, Gates S, Lamb SE. Maximising response to postal questionnaires—a systematic review of randomised trials in health research. BMC Med Res Methodol. 2006;6:5.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kendrick D, Lyons R, Christie N, Towner E, Benger J, Groom L, et al. Recruiting participants for injury studies in emergency departments. Inj Prev. 2007;2:75–7.

    Article  Google Scholar 

  17. Statistics Netherlands. Population; sex, age and marital status. Retrieved from,17&D2=97-117&D3=102,107,120-121,140,143,147,155,157,168,171-172,174,177,179-180,182,189-190,197,207-208,210,221,229,232,234-235,244,250,253,260,267,269,273-274,285,290,298-300,304,310-311,313-314,316-317,324,328,337,341,352,357-358,360,383-386,394-395,400,403,406,409,414-416,424,448,456-457,465,482,485,493,497,502-503,509,515-516,528,543,545,547-548,575,581,587,596-597,602,605-606,617,621,627,630-632,636,649,651,654-655,661-662,666,672,683-685,690,697,703,712,717-718,733-734,736-737,740,744,757,761,768,774-775,788,792-793,798,800,807,819-821,824,829,837,842,860,869,877-878,886,893,905&D4=l&HDR=T&STB=G2,G3,G1&VW=T. Accessed 21 Nov 2014.

  18. Roukema J, Steyerberg EW, van Meurs A, Ruige M, van der Lei J, Moll HA. Validity of the Manchester triage system in paediatric emergency care. Emerg Med J. 2006;12:906–10.

    Article  Google Scholar 

  19. Wuerz RC, Milne LW, Eitel DR, Travers D, Gilboy N. Reliability and validity of a new five-level triage instrument. Acad Emerg Med. 2000;3:236–42.

    Article  Google Scholar 

  20. Bouwmans C, De Jong K, Timman R, Zijlstra-Vlasveld M, Van der Feltz-Cornelis C, Tan Swan S, et al. Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P). BMC Health Serv Res. 2013;13:217. 6963-13-217

    Article  PubMed  PubMed Central  Google Scholar 

  21. Stolk EA, Busschbach JJ, Vogels T. Performance of the EuroQol in children with imperforate anus. Qual Life Res. 2000;1:29–38.

    Article  Google Scholar 

  22. Dolan P. Modeling valuations for EuroQol health states. Med Care. 1997;11:1095–108.

    Article  Google Scholar 

  23. Klaassen MA, Veerkamp JS, Hoogstraten J. Young children’s oral health-related quality of life and dental fear after treatment under general anaesthesia: a randomized controlled trial. Eur J Oral Sci. 2009;3:273–8.

    Article  Google Scholar 

  24. Landgraf JM, Vogel I, Oostenbrink R, van Baar ME, Raat H. Parent-reported health outcomes in infants/toddlers: measurement properties and clinical validity of the ITQOL-SF47. Qual Life Res. 2013;3:635–46.

    Article  Google Scholar 

  25. van Baar ME, Essink-Bot ML, Oen IM, Dokter J, Boxma H, Hinson MI, et al. Reliability and validity of the Dutch version of the American Burn Association/Shriners Hospital for Children Burn Outcomes Questionnaire (5-18 years of age). J Burn Care Res. 2006;6:790–802.

    Article  Google Scholar 

  26. Van Loey NE, Van de Schoot R, Gerdin B, Faber AW, Sjoberg F, Willebrand M. The burn specific health scale-brief: measurement invariant across European countries. J Trauma Acute Care Surg. 2013;5:1321–6.

    Article  Google Scholar 

  27. Sveen J, Low A, Dyster-Aas J, Ekselius L, Willebrand M, Gerdin B. Validation of a Swedish version of the Impact of Event Scale-Revised (IES-R) in patients with burns. J Anxiety Disord. 2010;6:618–22.

    Article  Google Scholar 

  28. Hutchings A, Neuburger J, Grosse Frie K, Black N, van der Meulen J. Factors associated with non-response in routine use of patient reported outcome measures after elective surgery in England. Health Qual Life Outcomes. 2012;10:34. 7525-10-34

    Article  PubMed  PubMed Central  Google Scholar 

  29. Finlay V, Burke K, van de Ruit C, Lapuz R, Phillips M, Wood F, et al. Assessing the impact of missing data in evaluating the recovery of minor burn patients. Burns. 2009;8:1086–91.

    Article  Google Scholar 

  30. Gabbe BJ, Cleland H, Watterson DM, Schrale R, McRae S, Parker C, et al. Long term outcomes data for the Burns Registry of Australia and New Zealand: is it feasible? Burns. 2015;8:1732–40.

    Article  Google Scholar 

  31. Varner C, McLeod S, Nahiddi N, Borgundvaag B. Text messaging research participants as a follow-up strategy to decrease emergency department study attrition. CJEM. 2017:1–6. doi:10.1017/cem.2016.408.

  32. Cofield SS, Conwit R, Barsan W, Quinn J. Recruitment and retention of patients into emergency medicine clinical trials. Acad Emerg Med. 2010;10:1104–12.

    Article  Google Scholar 

  33. Bower P, Brueton V, Gamble C, Treweek S, Smith CT, Young B, et al. Interventions to improve recruitment and retention in clinical trials: a survey and workshop to assess current practice and future priorities. Trials. 2014;15:399. 6215-15-399

    Article  PubMed  PubMed Central  Google Scholar 

  34. Finlay V, Phillips M, Allison GT, Wood FM, Ching D, Wicaksono D, et al. Towards more efficient burn care: identifying factors associated with good quality of life post-burn. Burns. 2015;7:1397–404.

    Article  Google Scholar 

Download references


The authors would like to thank the participating patients and the back office of the emergency departments of the two participating hospitals (Elisabeth-TweeSteden Hospital, location Elisabeth, Tilburg and Amphia Hospital Breda) for their assistance in recruiting patients and providing additional hospital data.


This study was financially supported by a grant of the Dutch Burns Foundation, Beverwijk, the Netherlands (registration number 13.102).

Availability of data and materials

Data supporting the findings of this study can be obtained upon request.

Author information

Authors and Affiliations



All authors have made substantial contributions to the conception and design of the study (HG, BW, MJ, SP, NL, MB), to acquisition of data (HG, BW, SM), to analysis and interpretation of data (HG, MJ, CV, SP, NL, MB), and drafting the article (HG, MJ, SP, NL, MB) or revising it critically for important intellectual content (BW, SM, CV). All authors gave final approval of this version.

Corresponding author

Correspondence to M. E. van Baar.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committee of Elisabeth-TweeSteden Hospital, location Elisabeth, Tilburg, the Netherlands under the registration number METC2013.174. Written informed consent was obtained to participate in the study follow-up.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional files

Additional file 1:

Work and Medical Consumption questionnaire. (DOCX 44 kb)

Additional file 2: Table S1.

Detailed response analysis by recruitment strategy (DOCX 16 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goei, H., Wijnen, B.F.M., Mans, S. et al. Follow-up in patients with a burn-related emergency department visit: a feasibility study. Burn Trauma 5, 35 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: